AI Recommendation

What Does a B2B AI Recommendation Specialist Actually Do?

A B2B AI recommendation specialist gets an established B2B company named, and described correctly, when its buyers ask ChatGPT, Gemini, Claude, or Perplexity who to hire. The work has three parts: check what AI says today for the buyer's real questions, find out why AI can't confirm the company, and fix it, on the website and off it. Success is measured as the share of those questions where AI names you in its first answer.

The job exists because buying changed. A buyer used to search Google and compare ten links. Now many ask an AI assistant and get back a short list of names. In a G2 survey of more than 1,000 B2B software buyers in August 2025, half said they now start their buying journey in an AI chatbot instead of Google. If your company isn't on that short list, you don't lose the comparison. You're never in it.

The work, in six steps

  1. Collect the questions your buyers actually ask. Six to eight of them, in the buyer's words, taken from sales calls, RFQs, and procurement emails. "Fractional CMO for a manufacturing company in the Gulf," not "integrated revenue architecture."
  2. Check them by hand in the real apps. ChatGPT, Gemini, Claude, and Perplexity, each in a fresh logged-out chat, first answer only. Tools that check through an API often see a different answer from the one your buyer sees in the app. This gives the baseline: your AI Endorsement Score.
  3. Find the reason AI skips you. It is almost always one of six reasons: newer in the model's memory, the wrong words, missing from the lists AI reads, too few independent mentions, a split identity, or pages AI can't read.
  4. Fix your own website. Your buyers' category words next to your positioning, one page that settles who you are, answer-first pages, structured data, and making sure AI crawlers and Bing can actually reach your pages.
  5. Fix your footprint off the website. The same description on LinkedIn, directories, and the lists AI reads, plus mentions you earn: interviews, trade press, talks, and case studies your clients publish.
  6. Re-test every month with the same questions. The models and the web keep changing. The score shows whether the work is moving the first answer.

What it looks like on my own site

I run the same process on myself. In the last two months it found three gaps:

  1. The wrong words. ChatGPT left me out of a list of fractional CMOs for industrial companies. One gap was a single word my site never used: "manufacturing."
  2. A split identity. My family name is written two ways in English, and at least six other professionals share it. I published one page that settles who Ahmad Mneimneh is.
  3. Pages AI couldn't reach. My firewall was blocking ChatGPT's and Claude's crawlers, and Bing, which ChatGPT search leans on, knew only my homepage.

The first two are fixed. For the third, the crawlers are now let in and every page has been submitted to Bing.

And AI already sends real visitors. On the owned website I built for Master English, ChatGPT sent 13.6% of visits over 30 days in September and October 2026, more than any other named source. See the numbers.

How it differs from SEO and GEO software

An SEO agency gets your pages ranked in Google. GEO software monitors AI answers and publishes structured content at scale. A specialist works on why AI can't confirm you for the questions behind large, complex deals: your category words, your identity, and the independent sources AI trusts. They combine well. Here is the full comparison, including when you don't need a specialist at all.

When you need one, and when you don't

You probably need one if

  1. AI names your competitors when your buyers ask about your category.
  2. AI confuses your company or your name with someone else.
  3. You sell into long, high-value deals, where one lost lead is expensive.
  4. Your real capability is stronger than how you appear online.

You probably don't, yet, if

  1. Google can't find your site at all. Fix SEO first: AI search tools lean on search indexes.
  2. You're a local business with simple questions. GEO software may be enough.
  3. You're pre-revenue and still finding your market.

What a good one will, and won't, promise

Will: show you the first-answer test before any work starts, with dates and screenshots, tell you in plain words which reason applies, and re-test the same questions every month.

Won't: guarantee "number one in ChatGPT." Nobody controls the model. And won't flood your site with generic AI-written articles or publish a "top 10" list that ranks you first. Your buyers notice those.

Want to know what AI says about your company today? Get your free AI Endorsement report: I check your buyers' questions by hand in ChatGPT, Gemini, Claude, and Perplexity, and show you who AI names instead, and why.

Want a quick read on where you stand? Take the free AI Endorsement Readiness Scorecard: 3 minutes, full report by email.

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